Commercial Research Analyst
M1430
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You hold a role undergoing transformation in response to artificial intelligence. AI takes on repetitive and analytical tasks while augmenting your capabilities for high-value work.
The profession is at risk: AI is fundamentally reshaping the work, with a significant portion of tasks being automated or heavily assisted.
What will change
- Monitoring and summarizing competitive activities and industry trends: AI centralizes information flows, detects signals and produces standardized reports, which is relevant because the task involves systematic processing and large-scale cross-referencing that benefit from moderate automation to deliver rapid results.
- Analysis of sales campaign performance and proposed adjustments: AI computes correlations, tests variants and generates operational recommendations, the quantifiable and repetitive nature of the tests making this support suitable through moderate automation that speeds up iteration.
- Collection, cleaning and initial interpretation of data for commercial studies: AI consolidates and structures datasets, executes standardized processing and provides dashboards, the routine and scale of the operations favoring AI support with moderate automation that frees up time for deeper analysis.
What AI will improve
- Monitoring and strategic analysis: AI provides alerts and contextualized summaries, enabling you to focus your expertise on interpreting signals and formulating operational recommendations.
- Campaign optimization: AI proposes scenarios, visualizes impacts and simulates variants, allowing you to validate tactical choices more quickly and refine strategy while preserving human oversight.
- Segmentation and targeting: AI identifies groups and builds archetypal profiles, which helps you translate these results into relevant offers and messages by incorporating business knowledge and commercial constraints.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Commercial Research Analyst, AI can already do 42% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Develop critical thinking and client problem framing; AI tools: LLM + specialized tools (BI, SQL, dashboards).
- Master AI output supervision and data governance; AI tools: LLM + specialized tools (error detection, validation).
- Strengthen AI project management and change leadership; AI tools: LLM + specialized tools (monitoring, dashboards, analytical pipelines).
3-year outlook
Within three years, AI will have automated routine tasks and heightened the importance of interpretation and consulting. The role will shift toward strategic management and communicating insights, with a strong preference for profiles capable of framing, validating, and presenting results to decision-makers. The key skill will be transforming data into actionable organizational decisions.
AI tools used in this profession
Solutions deployed in production by professionals in this field
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
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Tasks most exposed to AI alone
7Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
While AI and automation can handle some analysis and data collection tasks, your role remains essential for interpreting results and providing tailored recommendations to clients. You'll save time on repetitive tasks, allowing you to focus on strategic consulting and business understanding. This shift represents a career evolution, provided you develop advanced analytical and communication skills.
The need for professionals dedicated to commercial studies will persist, though headcounts will adjust to automation and evolving market demands. You'll be less exposed to purely operational tasks and more involved in project management, data interpretation, and client consulting. In practice, roles will evolve rather than disappear, as long as you upskill in data-driven roles and customer relations.
To adapt, start by strengthening your data analysis skills (SQL, BI tools) and your ability to synthesize information to support decision-making. Also develop your ability to engage with clients and sales teams, ensuring you bridge the gap between results and business opportunities. Finally, seek training and cross-functional experiences that position you as a business expert and a trusted client advisor.